About Pleo Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’. About Pleo Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’.With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. We will not review any application before the closing window so, please, don't rush to apply and ensure you use the time to submit a high quality, personalised application.About The RoleGrowth Intelligence owns the commercial data layer that powers Pleo's GTM engine — acquisition, retention, propensity modelling, and customer health. The team supports RevOps, Customer Experience, Customer Success, and senior commercial leadership with the data and models they need to make faster, smarter decisions.As a Staff Full Stack Data Analyst, you are the senior technical voice for commercial analytics at Pleo. You set the architectural direction for Growth Intelligence's analytics layer, define what good looks like for the team, and shape how GTM data is structured, governed, and consumed by people and increasingly by AI tools.You bring technical depth, commercial instinct, and organisational reach in equal measure. Who you'll work withYou will report to the Senior Manager of the Growth Intelligence team. You will partner closely with senior commercial leadership, Customer Experience, Sales, and Customer Success teams; Data Scientists and Analytics Engineers across the broader data organization; and Data Services & Governance on standards and semantic layer ownership. You will be a visible, senior presence across the entire data community at Pleo.Identify and resolve upstream data quality issues at source, treating quality gaps as governance and contract problems, articulating the business risk they create, and driving the org-level changes needed to fix them durably.
Define canonical GTM metric definitions in the semantic layer, in partnership with Data Services & Governance while ensuring RevOps, CS, CX, BI tools, and AI tooling are working from the same source of truth,



and holding that standard over time.
Partner with senior commercial leadership to shape the questions worth answering.
Lead in-depth analysis of customer behaviour, commercial performance, and retention patterns.
Contribute to engineering and analytical standards across the broader data community, participating in cross-team reviews and helping define what production-grade analytics looks like at Pleo.
For extra context, you'll also be leveraging technologies including SQL, dbt, BigQuery, Looker, Amplitude, HubSpot, Zuora, or Vitally.Prior experience operating at Staff or Lead level in data analytics or analytics engineering roles in a fast-paced SaaS organisation.
Expert knowledge of SQL and dbt: you write clean, tested, well-architected models and can make and defend layering decisions for a team, not just yourself.
Solid proficiency with Python for data analysis and manipulation.
BigQuery fluency, including performance optimization and cost considerations at scale.
Mastery of a modern BI tool such as Looker or Omni.
Commercial specialisation: you have worked in a commercial analytics focused role and understand GTM metrics, customer lifecycle economics, and how data connects to revenue outcomes at a strategic level.
Systems thinking on data quality: you approach quality gaps as governance questions, identify root causes upstream, and drive fixes that last rather than patches that don't.
Strong understanding of data contracts: schema ownership, SLAs, and the organizational dynamics required to make producer-consumer agreements stick.
Track record of advising senior GTM stakeholders around shaping the question as much as answering it, and communicating risk and tradeoffs clearly to non-technical leaders.
Why this role is a good fit for youThis role is a good fit for you if:You excel at turning large, interconnected and complex problems into well structured, clearly defined and pragmatic solutions. You have operated as a Technical Lead for Commercial / Growth Analytics within a 500+ people SaaS organisation and understand the recurring topics, challenges and goals businesses of our scale experience.




This role requires you to move between architecture, analysis, experimentation, stakeholder management, and mentoring.
You are not comfortable operating at senior leadership level and shaping ambiguous commercial questions into solvable data problems. You'll often need to define what success looks like before you can measure it.
The commercial data environment here is genuinely complex: definitions evolve, ownership is shared, and the right answer sometimes requires organisational negotiation as much as analysis.
By the end of your first six months, you will have left the analytics layer in structurally better shape, not just fixed individual dashboards, but addressed the underlying quality, governance, and architectural gaps that were causing repeated pain for RevOps, CS, and CX teams.
You will have driven at least one meaningful governance outcome: canonical GTM metric definitions agreed with Data Services & Governance, embedded in the semantic layer, and actively used so that analysts, BI tools, and AI features are working from the same numbers.
You will have established yourself as a trusted partner to commercial leadership, not just the person who delivers the analysis, but the person they bring in when they're not sure what question to ask.
Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office
~ 25 days of annual leave + public holidays (additional days may apply in select countries based on local standards).
~ For our Team, we offer both hybrid and fully remote working options
~ A 30-minute chat with our Talent Partner to discuss the role and your background.
Core skills test: an async technical exercise designed to assess your coding fundamentals.
Final interview: a 30-minute conversation with a senior leader focusing on your behavioural skills.
We love seeing people leverage AI - it’s a big focus for us internally too- but without human intervention, these CVs can sometimes become generic and fail to show a candidate in the best light. For this role, technical experience, seniority and commercial domain expertise all matter equally. English first. Since it's our company language, please submit your application in English. You’ll be using it a lot if you join us.
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📌 Staff Fullstack Data Analyst (Commercial Analytics) (España)
🏢 Pleo
📍 España